Senior Data Scientist

Role & responsibilities

4 - 8 Years of relevant experience in the space

Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product and business teams

Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets

Create great data stories with expertise in robust EDA and statistical inference. Experience in Experimentation design a big plus but should understands fundamentals of A/B testing

Strong understanding of the Machine Learning lifecycle - feature engineering,

training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe is a big plus

Experience with analytical programming languages, tools and libraries (Python a must) as well as Shell scripting

Very proficient is SQL and other relational databases. Proficient in PySpark. Experience in using NoSQL databases. able to handle unstructured data with ease preferred

Experience in working with AWS/Azure/GCP ecosystems. MLOps tools experience a plus

2.

Perform comprehensive data explorations around to generate inquisitive insights and scope out the problem

3.

Develop simplistic to advanced solutions to address the problem at hand. We believe in making swift (albeit sometimes marginal) impact to business KPIs and hence adopt an MVP approach to solution development

4.

Build re-usable code analytical frameworks to address commonly occurring business questions

5.

Perform 360-degree customer profiling and opportunity analyses to guide new product strategy. This is a nascent business and hence opportunities to guide business strategy are plenty